Ram Parameswaran
10.5K posts
@_ram_
Founder / CIO : octahedron
We @_DimensionCap ported @karpathy's autoresearch framework to biology. We let Claude run 50 experiments over the weekend on protein thermostability prediction via @modal. It beat a recent baseline (TemBERTure) using a 20x smaller model. Code + research blog later this week!
Atoms. atoms.co/vision
Legora sets the bar for operating at AI speed. Watching them become one of the fastest growing software companies of all time these past few years has provided constant lessons on what’s required to win in this new world. Fresh off @WeAreLegora's $550M Series D, CEO @MaxJunestrand joined @loganbartlett and me on Unsupervised Learning to provide a masterclass on building an AI-native company. He shared some amazing lessons around - Constantly rebuilding for the bleeding edge of model capabilities - Partnering with customers for both immediate impact and long-term transformation - Running Legora differently from traditional software companies He also included some spicy takes on - Why foundation models entering legal is good for Legora - Pricing AI products - The future of the legal industry It’s impossible to listen to Max and not pick up the infectious energy that makes Legora such a special company. Check out the full episode: YouTube: youtu.be/wzRZp-1EuaE Spotify: bit.ly/3Nc53za Apple: bit.ly/40ufr8m 0:00 Intro 1:16 Legora’s Series D Story 3:24 Why You Need Low Ego to Build in AI 5:58 From 60% to 100% Accuracy in One Summer 7:04 Law Firm Economics Shift 14:09 Pricing Seats Vs Outcomes 18:31 Why Foundation Models Entering Legal Helps Legora 30:10 Convincing a 75-Year-Old Partner to Go All In 33:02 Hiring Legal Engineers 34:32 Running an AI-Native Company 35:57 The Opus 4.5 Christmas Breakthrough 40:02 Building With Customers 44:01 All In On US Expansion 51:22 Stockholm Startup DNA
Software isn’t merely technical work anymore. It’s creative. Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents. Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.
Big day at @WeAreLegora! We have raised $550 million at a $5.55 billion valuation in a Series D funding round, led by @Accel, to accelerate expansion across the United States. To all our customers and partners, this celebration is as much yours as it is ours.
1/ Most investors still analyze tech companies using software-era frameworks. AI is forcing a return to physical-world constraints. AI is forcing a return to physical-world constraints, and the companies that control those constraints will capture the most durable value. Here's the framework I use:
Meet KARL: a faster agent for enterprise knowledge, powered by custom reinforcement learning (now in preview). Enterprise knowledge work isn’t just Q&A. Agents need to search for documents, find facts, cross-reference information, and reason over dozens or hundreds of steps. KARL (Knowledge Agent via Reinforcement Learning) was built to handle this full spectrum of grounded reasoning tasks. The result: frontier-level performance on complex knowledge workloads at a fraction of the cost and latency of leading proprietary models. These advances are already making their way into Agent Bricks, improving how knowledge agents reason over enterprise data. And Databricks customers can apply the same reinforcement learning techniques used to train KARL to build custom agents for their own enterprise use cases. Read the research → databricks.com/sites/default/… Blog: databricks.com/blog/meet-karl…
Today we're announcing a new round of funding that values @eightsleep at $1.5 billion, led by @tether Investments. Ten years ago I started Eight Sleep with one conviction: the night is the most underutilized lever in human health. Almost nobody was engineering their sleep. Last year, we hit free cash flow positivity, launched 3 new products, expanded to 34 countries, and published peer-reviewed studies showing the Pod reduces menopausal hot flashes by 56% and restores the body's natural circadian temperature rhythm during sleep, lowering core body temperature and improving cardiovascular recovery. A product you sleep on is producing clinical outcomes that rival pharmaceutical interventions. We're now building a predictive AI agent trained on 1B+ hours of sleep data. It anticipates your night before it happens. And we're advancing FDA filings for sleep apnea detection. Passive. Every night. No wires, no clinic visits. The night is just the beginning.
It's not often the co-founders and I author blog posts together, but we thought this one is important so we took time to write this together with the Neon team. In this blog we outline why we think a new type of database will slowly take over and replace all existing databases, we call it the Lakebase. We cover the WHY and the WHAT here: 𝐀 𝐍𝐞𝐰 𝐄𝐫𝐚 𝐨𝐟 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐤𝐞𝐛𝐚𝐬𝐞 databricks.com/blog/what-is-a…
Tell me you never built a marketplace without telling me.
